• Participar en proyectos de migración de datos hacia SAP S/4HANA, apoyando las diferentes fases del proceso. • Utilizar SAP Migration Cockpit para la carga, transformación y validación de datos. • Analizar y preparar la información proveniente de sistemas legacy para su migración a SAP. • Validar la calidad, consistencia e integridad de los datos antes y después de la migración. • Trabajar de forma colaborativa con consultores funcionales y técnicos para asegurar una correcta integración de la información en el sistema.

• Work closely with predictive modelers to assemble large, complex data sets that help solve business problems and increase profitability • Perform data manipulation and transformation using SQL and Python • Identify, design, and implement internal process improvements: automating manual processes and optimizing data pipelines • Discover and explore new sources of data with curiosity and creativity • Create and maintain optimal data pipeline architecture • Author detailed and comprehensible documentation of data pipelines and technical solutions • Ensure data quality and completeness

Title: Data Engineer Location: Chicago, IL Full time Job Description: Shirley Ryan AbilityLab is the global leader in physical medicine and rehabilitation for adults and children with the most severe, complex conditions. By joining our team, you’ll be part of our life-changing mission and vision. You’ll contribute to an innovative, multifaceted culture that is second to none — one that embraces collaboration, excellence, discovery and compassion. You’ll play a role in something that’s never been done before as we integrate science and clinical care to help patients achieve better, faster outcomes — as we Advance Human Ability, together. Job Description Summary Job Description Data Engineers for Chicago, IL location. - Develop secure, stable, scalable long-term plans for the flow of hospital data. - Assist in the development of scalable data infrastructure and platforms to collect and process large amounts of data, including structured and unstructured data for analysis by clinical, research, and business resources. - Establish methods and procedures for tracking data quality, completeness, redundancy, compliance and improvement. - Create strategies and plans for data capacity planning, data security, life cycle data management, scalability, backup and archiving. - Help oversee mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality. - Define standards for naming, describing, governing, managing, modeling, cleaning, enriching, transforming, moving, storing, searching, and delivering data securely. - Participate in data and information model design across multiple stakeholders. - Technical environment: Implementation of data security standards in line with HIPAA requirements, SQL, SQL server Management Studio, Python, VBA, SSIS, Requirements Analysis, relational databases, Business intelligence, Tableau development, ETL process development, Data management, Data engineering, Data modeling. Job Requirements - Masters degree in Information Systems, Computer Science, Data Science or related field plus 2 years of experience in data analytics with large data sets required. - Required skills: implementation of data security standards in line with HIPAA requirements, SQL, SQL server Management Studio, Python, VBA, SSIS, Requirements Analysis, relational databases, Business intelligence, Tableau development, ETL process development, Data management, Data engineering, Data modeling. - Some telecommuting permitted. - (*Bachelor’s degree in Information Systems, Computer Science, Data Science or related field plus 5 years of progressive experience in data analytics with large data sets also acceptable). Salary: $104, 250 – 124,500/yr. Equal Employment Opportunity Employer Shirley Ryan AbilityLab is an Equal Employment Opportunity Employer. All applicants will be afforded equal employment opportunity without discrimination because of race, color, religion, sex, marital status, national origin or ancestry, citizenship status, age, disability, sexual orientation, gender identity, genetic information, military status, order of protection status, unfavorable discharge from military service, or any other characteristics protected by law.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location This job location is anywhere in USA. About the job you're considering Looking for a GCP Data Engineer with strong Data Engineering experience to build and maintain complex technology initiatives. Your role will involve hands-on development and implementation of data platforms on Google Cloud Platform. Your role Build, develop, and maintain end-to-end data pipelines (ETL/ELT) on Google Cloud Platform. Implement data ingestion, processing, storage, and analytics using BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, and Composer. Implement modern data lakehouse and data warehouse architectures aligned with analytics and AI use cases. Ensure data quality, validation, and adherence to data governance and security standards. Develop infrastructure as code using Terraform or equivalent tools. Collaborate with architects and platform teams on CI/CD, DataOps, and monitoring strategies. Apply GCP security best practices, including IAM, networking, encryption, and compliance controls. Partner with business and technology stakeholders to translate technical designs into functional, efficient code. Act as a technical developer on cloud data modernization and GCP best practices. Support solution implementation, including testing, debugging, and production support. Your skills and experience Required: 3+ years of overall IT experience with 3+ years specifically in cloud data engineering. Required: Proven experience building and deploying GCP-based data pipelines. Background with large enterprise data programs across industries. Deep expertise in Google Cloud Platform, including BigQuery, Cloud Storage, Dataflow (Apache Beam), Pub/Sub, Dataproc (Spark), and Composer (Airflow). Strong knowledge of data modeling, ETL/ELT, streaming architectures, and SQL. Experience with CI/CD, Terraform, and DataOps practices. Exposure to AI/ML enablement on GCP (Vertex AI is a plus). Required: Google Professional Data Engineer Certification. Strong communication and stakeholder management abilities. Ability to explain technical concepts to technical and non-technical audiences. Experience working in global, distributed teams. Passion for innovation, engineering excellence #LI-SD1 The base compensation range for this role in the posted location is $43,984 to $105,600 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: - Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave - Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) - Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) - Life and disability insurance - Employee assistance programs - Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.